SOTAVerified

Knowledge Distillation

Knowledge distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep neural networks or ensembles of many models) have higher knowledge capacity than small models, this capacity might not be fully utilized.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2951–3000 of 4240 papers

TitleStatusHype
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners—0
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identificationCode0
MobileFaceSwap: A Lightweight Framework for Video Face SwappingCode2
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks—0
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo ReplayCode1
Two-Pass End-to-End ASR Model Compression—0
Microdosing: Knowledge Distillation for GAN based Compression—0
Which Student is Best? A Comprehensive Knowledge Distillation Exam for Task-Specific BERT Models—0
Class-Incremental Continual Learning into the eXtended DER-verse—0
Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation—0
Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation—0
Learn From Others and Be Yourself in Heterogeneous Federated LearningCode1
Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search—0
Improving Video Model Transfer With Dynamic Representation Learning—0
Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection—0
Image Restoration using Feature-guidance—0
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor DataCode1
Conditional Generative Data-free Knowledge Distillation—0
Data-Free Knowledge Transfer: A Survey—0
Confidence-Aware Multi-Teacher Knowledge DistillationCode1
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification—0
Automatic Mixed-Precision Quantization Search of BERT—0
Online Adversarial Knowledge Distillation for Graph Neural NetworksCode0
Distilling the Knowledge of Romanian BERTs Using Multiple TeachersCode0
Adaptive Beam Search to Enhance On-device Abstractive Summarization—0
Self-Distillation Mixup Training for Non-autoregressive Neural Machine Translation—0
Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix—0
Supervised Graph Contrastive Pretraining for Text Classification—0
Deep Graph-level Anomaly Detection by Glocal Knowledge DistillationCode1
Controlling the Quality of Distillation in Response-Based Network Compression—0
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision—0
Distill and De-bias: Mitigating Bias in Face Verification using Knowledge Distillation—0
Knowledge Distillation Improves Stability in Retranslation-based Simultaneous Translation—0
Towards Disturbance-Free Visual Mobile ManipulationCode0
Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image RecognitionCode1
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport DistillationCode1
Distillation of Human-Object Interaction Contexts for Action Recognition—0
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching—0
Amortized Noisy Channel Neural Machine Translation—0
Learning Cross-Lingual IR from an English RetrieverCode1
On the Use of External Data for Spoken Named Entity RecognitionCode0
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text—0
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep stagingCode1
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation—0
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-trainingCode0
Up to 100 Faster Data-free Knowledge DistillationCode1
DistilCSE: Effective Knowledge Distillation For Contrastive Sentence EmbeddingsCode1
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic SegmentationCode0
Mask-invariant Face Recognition through Template-level Knowledge DistillationCode1
Mutual Adversarial Training: Learning together is better than going alone—0
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All datasetsImageNetCIFAR-100COCO (Common Objects in Context)COCO 2017 valPASCAL VOCKITTI

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ScaleKD (T:BEiT-L S:ViT-B/14)Top-1 accuracy %86.43—Unverified
2ScaleKD (T:Swin-L S:ViT-B/16)Top-1 accuracy %85.53—Unverified
3ScaleKD (T:Swin-L S:ViT-S/16)Top-1 accuracy %83.93—Unverified
4ScaleKD (T:Swin-L S:Swin-T)Top-1 accuracy %83.8—Unverified
5KD++(T: regnety-16GF S:ViT-B)Top-1 accuracy %83.6—Unverified
6VkD (T:RegNety 160 S:DeiT-S)Top-1 accuracy %82.9—Unverified
7SpectralKD (T:Swin-S S:Swin-T)Top-1 accuracy %82.7—Unverified
8ScaleKD (T:Swin-L S:ResNet-50)Top-1 accuracy %82.55—Unverified
9DiffKD (T:Swin-L S: Swin-T)Top-1 accuracy %82.5—Unverified
10DIST (T: Swin-L S: Swin-T)Top-1 accuracy %82.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SRD (T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)79.86—Unverified
2shufflenet-v2(T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)78.76—Unverified
3MV-MR (T: CLIP/ViT-B-16 S: resnet50)Top-1 Accuracy (%)78.6—Unverified
4resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)78.28—Unverified
5resnet8x4 (T: resnet32x4 S: resnet8x4 [modified])Top-1 Accuracy (%)78.08—Unverified
6ReviewKD++(T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)77.93—Unverified
7ReviewKD++(T:resnet-32x4, S:shufflenet-v1)Top-1 Accuracy (%)77.68—Unverified
8resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)77.5—Unverified
9resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)76.68—Unverified
10resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)76.31—Unverified
#ModelMetricClaimedVerifiedStatus
1LSHFM (T: ResNet101 S: ResNet50)mAP77.16—Unverified
2LSHFM (T: ResNet101 S: MobileNetV2)mAP73.73—Unverified
3ADLIK-Faster (T: Faster R-CNN vit-base S: Faster R-CNN deit-small) box AP47.6—Unverified
4ADLIK-Mask (T: Mask R-CNN vit-base S: Mask R-CNN deit-small)mask AP42.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ReviewKD++(T: faster rcnn(resnet101), S:faster rcnn(resnet50))AP@0.561.8—Unverified
2ReviewKD++(T: faster rcnn(resnet101), S:faster rcnn(resnet18))AP@0.557.96—Unverified
3ReviewKD++(T: faster rcnn(resnet101), S:faster rcnn(mobilenet-v2))AP@0.555.18—Unverified
#ModelMetricClaimedVerifiedStatus
1LSHFM (T: ResNet101 S: ResNet50)mAP93.17—Unverified
2LSHFM (T: ResNet101 S: MobileNetV2)mAP90.14—Unverified
#ModelMetricClaimedVerifiedStatus
1TIE-KD (T: Adabins S: MobileNetV2)RMSE2.43—Unverified